package cn.juque.datapipeline.config;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

/**
 * @author juque
 * @version 1.0.0
 * <ul>
 *     <li>AsyncConfig</li>
 * </ul>
 * @date 2023-01-11 00:07:48
 **/
@Configuration
public class AsyncConfig {

    @Value("${data-pipeline.async.core-pool-size}")
    private Integer corePoolSize;

    @Value("${data-pipeline.async.max-pool-size}")
    private Integer maxPoolSize;

    @Value("${data-pipeline.async.queue-capacity}")
    private Integer queueCapacity;

    @Value("${data-pipeline.async.name-prefix}")
    private String namePrefix;

    @Bean("dataPipelineExecutor")
    public Executor asyncExecutor(){
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        //配置核心线程数
        executor.setCorePoolSize(corePoolSize);
        //配置最大线程数
        executor.setMaxPoolSize(maxPoolSize);
        //配置队列大小
        executor.setQueueCapacity(queueCapacity);
        //配置线程池中的线程的名称前缀
        executor.setThreadNamePrefix(namePrefix);
        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
        // CALLER_RUNS：不在新线程中执行任务，而是有调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        //执行初始化
        executor.initialize();
        return executor;
    }
}
